{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:19.909495Z",
     "start_time": "2020-07-14T06:32:19.032458Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy import stats\n",
    "from collections import Counter\n",
    "\n",
    "sns.set_style('ticks')\n",
    "\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['figure.dpi']= 300\n",
    "mpl.rc(\"savefig\", dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drug statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:19.947727Z",
     "start_time": "2020-07-14T06:32:19.911872Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(265, 8)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Drug Name</th>\n",
       "      <th>Synonyms</th>\n",
       "      <th>Target</th>\n",
       "      <th>Target Pathway</th>\n",
       "      <th>Selleckchem Cat#</th>\n",
       "      <th>CAS number</th>\n",
       "      <th>PubCHEM</th>\n",
       "      <th>Others</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1046</th>\n",
       "      <td>681640</td>\n",
       "      <td>-</td>\n",
       "      <td>WEE1, CHEK1</td>\n",
       "      <td>Cell cycle</td>\n",
       "      <td>none</td>\n",
       "      <td>622855-37-2</td>\n",
       "      <td>10384072</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1242</th>\n",
       "      <td>(5Z)-7-Oxozeaenol</td>\n",
       "      <td>5Z-7-Oxozeaenol, LL-Z1640-2</td>\n",
       "      <td>TAK1</td>\n",
       "      <td>Other, kinases</td>\n",
       "      <td>none</td>\n",
       "      <td>253863-19-3</td>\n",
       "      <td>9863776</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>5-Fluorouracil</td>\n",
       "      <td>5-FU</td>\n",
       "      <td>Antimetabolite (DNA &amp; RNA)</td>\n",
       "      <td>Other</td>\n",
       "      <td>S1209</td>\n",
       "      <td>51-21-8</td>\n",
       "      <td>3385</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>A-443654</td>\n",
       "      <td>KIN001-139</td>\n",
       "      <td>AKT1, AKT2, AKT3</td>\n",
       "      <td>PI3K/MTOR signaling</td>\n",
       "      <td>none</td>\n",
       "      <td>552325-16-3</td>\n",
       "      <td>10172943</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>A-770041</td>\n",
       "      <td>KIN001-111</td>\n",
       "      <td>LCK, FYN</td>\n",
       "      <td>Other, kinases</td>\n",
       "      <td>none</td>\n",
       "      <td>869748-10-7</td>\n",
       "      <td>9549184</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Drug Name                     Synonyms  \\\n",
       "Drug ID                                                   \n",
       "1046                681640                            -   \n",
       "1242     (5Z)-7-Oxozeaenol  5Z-7-Oxozeaenol, LL-Z1640-2   \n",
       "179         5-Fluorouracil                         5-FU   \n",
       "86                A-443654                   KIN001-139   \n",
       "55                A-770041                   KIN001-111   \n",
       "\n",
       "                             Target       Target Pathway Selleckchem Cat#  \\\n",
       "Drug ID                                                                     \n",
       "1046                    WEE1, CHEK1           Cell cycle             none   \n",
       "1242                           TAK1       Other, kinases             none   \n",
       "179      Antimetabolite (DNA & RNA)                Other            S1209   \n",
       "86                 AKT1, AKT2, AKT3  PI3K/MTOR signaling             none   \n",
       "55                         LCK, FYN       Other, kinases             none   \n",
       "\n",
       "          CAS number   PubCHEM Others  \n",
       "Drug ID                                \n",
       "1046     622855-37-2  10384072    NaN  \n",
       "1242     253863-19-3   9863776    NaN  \n",
       "179          51-21-8      3385    NaN  \n",
       "86       552325-16-3  10172943    NaN  \n",
       "55       869748-10-7   9549184    NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_df = pd.read_csv('../data/GDSC/GDSC_Screened_Compounds_with_CAS.csv', index_col=0)\n",
    "drug_df.index = drug_df.index.astype(str)\n",
    "\n",
    "print (drug_df.shape)\n",
    "drug_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:20.111459Z",
     "start_time": "2020-07-14T06:32:19.950859Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1074, 226)\n"
     ]
    },
    {
     "data": {
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       "      <td>NaN</td>\n",
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       "<p>5 rows × 226 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          1       1001      1003      1004       1005      1006       1007  \\\n",
       "1240121 NaN   8.922340 -9.065271 -8.301324   1.998429 -2.455685 -11.688212   \n",
       "1240122 NaN   9.594524 -8.343748 -7.554691   6.033703 -2.145146 -10.332062   \n",
       "1240123 NaN  12.026930 -5.371884 -2.850964   7.302536  2.949209   5.095549   \n",
       "1240124 NaN  15.546812  0.049383 -2.081383  12.631072  4.908408  -3.980294   \n",
       "1240125 NaN  15.133371 -6.161000 -5.644063   5.860560  7.982458  -6.050576   \n",
       "\n",
       "              1008      1009       1010  ...  64  71  83  86  87  88  89   9  \\\n",
       "1240121   4.329096  9.033478  -0.035476  ... NaN NaN NaN NaN NaN NaN NaN NaN   \n",
       "1240122   4.108168  7.775115  -4.102308  ... NaN NaN NaN NaN NaN NaN NaN NaN   \n",
       "1240123  -1.354470  7.492998  -1.120740  ... NaN NaN NaN NaN NaN NaN NaN NaN   \n",
       "1240124  10.139113  9.686317  11.969400  ... NaN NaN NaN NaN NaN NaN NaN NaN   \n",
       "1240125  -1.744173  9.995125   9.262359  ... NaN NaN NaN NaN NaN NaN NaN NaN   \n",
       "\n",
       "         91  94  \n",
       "1240121 NaN NaN  \n",
       "1240122 NaN NaN  \n",
       "1240123 NaN NaN  \n",
       "1240124 NaN NaN  \n",
       "1240125 NaN NaN  \n",
       "\n",
       "[5 rows x 226 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ic50_df = pd.read_csv('../data/GDSC/gdsc_all_abs_ic50_bayesian_sigmoid_only9dosages.csv', index_col=0)\n",
    "ic50_df.index = ic50_df.index.astype(str)\n",
    "\n",
    "print (ic50_df.shape)\n",
    "ic50_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dose-response data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:21.167896Z",
     "start_time": "2020-07-14T06:32:20.115459Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>COSMIC_ID</th>\n",
       "      <th>DRUG_ID</th>\n",
       "      <th>LN_IC50</th>\n",
       "      <th>AUC</th>\n",
       "      <th>dose</th>\n",
       "      <th>response</th>\n",
       "      <th>dose_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>924100</td>\n",
       "      <td>1026</td>\n",
       "      <td>0.717722</td>\n",
       "      <td>0.899410</td>\n",
       "      <td>1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625,0.0...</td>\n",
       "      <td>-51.3288427176,-12.6788146505,6.27299400113,-1...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>924100</td>\n",
       "      <td>1028</td>\n",
       "      <td>2.664100</td>\n",
       "      <td>0.957206</td>\n",
       "      <td>2.0,1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625...</td>\n",
       "      <td>-15.7754310646,-2.65472049415,29.2017209725,23...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>924100</td>\n",
       "      <td>1029</td>\n",
       "      <td>3.336828</td>\n",
       "      <td>0.973893</td>\n",
       "      <td>2.0,1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625...</td>\n",
       "      <td>-7.21105173032,-2.45805096331,6.17730349582,16...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>924100</td>\n",
       "      <td>1030</td>\n",
       "      <td>5.164909</td>\n",
       "      <td>0.977844</td>\n",
       "      <td>10.0,5.0,2.5,1.25,0.625,0.3125,0.15625,0.07812...</td>\n",
       "      <td>36.5770972568,4.31028368857,31.5956059317,-25....</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>924100</td>\n",
       "      <td>1031</td>\n",
       "      <td>-4.325309</td>\n",
       "      <td>0.508180</td>\n",
       "      <td>0.2,0.1,0.05,0.025,0.0125,0.00625,0.003125,0.0...</td>\n",
       "      <td>-84.507027102,-78.073987247,-81.2016400935,-72...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   COSMIC_ID  DRUG_ID   LN_IC50       AUC  \\\n",
       "0     924100     1026  0.717722  0.899410   \n",
       "1     924100     1028  2.664100  0.957206   \n",
       "2     924100     1029  3.336828  0.973893   \n",
       "3     924100     1030  5.164909  0.977844   \n",
       "4     924100     1031 -4.325309  0.508180   \n",
       "\n",
       "                                                dose  \\\n",
       "0  1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625,0.0...   \n",
       "1  2.0,1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625...   \n",
       "2  2.0,1.0,0.5,0.25,0.125,0.0625,0.03125,0.015625...   \n",
       "3  10.0,5.0,2.5,1.25,0.625,0.3125,0.15625,0.07812...   \n",
       "4  0.2,0.1,0.05,0.025,0.0125,0.00625,0.003125,0.0...   \n",
       "\n",
       "                                            response  dose_count  \n",
       "0  -51.3288427176,-12.6788146505,6.27299400113,-1...           9  \n",
       "1  -15.7754310646,-2.65472049415,29.2017209725,23...           9  \n",
       "2  -7.21105173032,-2.45805096331,6.17730349582,16...           9  \n",
       "3  36.5770972568,4.31028368857,31.5956059317,-25....           9  \n",
       "4  -84.507027102,-78.073987247,-81.2016400935,-72...           9  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dose_response_df = pd.read_csv('../data/GDSC/GDSC_dose_response_scores.tsv', index_col=0, sep='\\t')\n",
    "dose_response_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:21.338589Z",
     "start_time": "2020-07-14T06:32:21.171560Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_list = sorted(set(dose_response_df['DRUG_ID'].astype(str)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:21.350786Z",
     "start_time": "2020-07-14T06:32:21.341035Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_df = drug_df.loc[drug_list]\n",
    "ic50_df = ic50_df[drug_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.716456Z",
     "start_time": "2020-07-14T06:32:21.352956Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_max_dosage_list = []\n",
    "\n",
    "for _, row in dose_response_df[['DRUG_ID' ,'dose']].iterrows():\n",
    "    d = str(row['DRUG_ID'])\n",
    "    max_dose = float(row['dose'].split(',')[0])\n",
    "    drug_max_dosage_list += [[d, max_dose]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select (drug, max_conc) with minimum max_con"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.792215Z",
     "start_time": "2020-07-14T06:32:44.720531Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_max_dosage_df = pd.DataFrame(drug_max_dosage_list, columns=['DRUG_ID', 'max_conc']).drop_duplicates().sort_values(['DRUG_ID', 'max_conc'], ascending=[True, True])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.805137Z",
     "start_time": "2020-07-14T06:32:44.794843Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_max_dosage_df = drug_max_dosage_df.drop_duplicates(subset=['DRUG_ID'], keep='first')\n",
    "drug_max_dosage_df = drug_max_dosage_df.set_index('DRUG_ID')\n",
    "drug_max_dosage_df.loc[:, 'log2_max_conc'] = np.log2(drug_max_dosage_df['max_conc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.816837Z",
     "start_time": "2020-07-14T06:32:44.807383Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max_conc</th>\n",
       "      <th>log2_max_conc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DRUG_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>10.965784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>0.1</td>\n",
       "      <td>-3.321928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>0.1</td>\n",
       "      <td>-3.321928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.584963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         max_conc  log2_max_conc\n",
       "DRUG_ID                         \n",
       "1             2.0       1.000000\n",
       "1001       2000.0      10.965784\n",
       "1003          0.1      -3.321928\n",
       "1004          0.1      -3.321928\n",
       "1005          6.0       2.584963"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_max_dosage_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate rank entropy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.965117Z",
     "start_time": "2020-07-14T06:32:44.819534Z"
    }
   },
   "outputs": [],
   "source": [
    "ic50_mat = np.array(ic50_df)\n",
    "rank_mat = np.zeros(ic50_df.shape) * np.nan\n",
    "drug_list = ic50_df.columns\n",
    "\n",
    "for u in range(ic50_mat.shape[0]):\n",
    "    ic50s = ic50_mat[u]\n",
    "    sel_bool = ~np.isnan(ic50s)\n",
    "    sel_ic50s = ic50s[sel_bool]\n",
    "    rank = np.argsort(np.argsort(sel_ic50s))\n",
    "    rank_mat[u, sel_bool] = rank\n",
    "\n",
    "results = []\n",
    "for i in range(ic50_mat.shape[1]):\n",
    "    r = rank_mat[:, i]\n",
    "    sel_bool = ~np.isnan(r)\n",
    "    sel_r = r[sel_bool]\n",
    "    n = float(len(sel_r))\n",
    "    entropy = 0\n",
    "    for rank, cnt in Counter(sel_r).items():\n",
    "        px = cnt / n\n",
    "        if px > 0:\n",
    "            entropy += -px*np.log2(px)\n",
    "\n",
    "    results += [[drug_list[i], entropy]]\n",
    "\n",
    "entropy_df = pd.DataFrame(results, columns=['Drug', 'entropy'])\n",
    "entropy_df = entropy_df.set_index('Drug')\n",
    "entropy_df.index = entropy_df.index.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.992782Z",
     "start_time": "2020-07-14T06:32:44.967290Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(226, 11)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Drug Name</th>\n",
       "      <th>Synonyms</th>\n",
       "      <th>Target</th>\n",
       "      <th>Target Pathway</th>\n",
       "      <th>Selleckchem Cat#</th>\n",
       "      <th>CAS number</th>\n",
       "      <th>PubCHEM</th>\n",
       "      <th>Others</th>\n",
       "      <th>entropy</th>\n",
       "      <th>max_conc</th>\n",
       "      <th>log2_max_conc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Erlotinib</td>\n",
       "      <td>Tarceva, RG-1415, CP-358774, OSI-774, Ro-50823...</td>\n",
       "      <td>EGFR</td>\n",
       "      <td>EGFR signaling</td>\n",
       "      <td>S7786</td>\n",
       "      <td>183321-74-6</td>\n",
       "      <td>176870</td>\n",
       "      <td>(S1023, 183319-69-9, HCl)</td>\n",
       "      <td>7.045609</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>AICA Ribonucleotide</td>\n",
       "      <td>AICAR, N1-(b-D-Ribofuranosyl)-5-aminoimidazole...</td>\n",
       "      <td>AMPK agonist</td>\n",
       "      <td>Metabolism</td>\n",
       "      <td>S1802</td>\n",
       "      <td>2627-69-2</td>\n",
       "      <td>65110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.034272</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>10.965784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>Camptothecin</td>\n",
       "      <td>7-Ethyl-10-Hydroxy-Camptothecin, SN-38, Irinot...</td>\n",
       "      <td>TOP1</td>\n",
       "      <td>DNA replication</td>\n",
       "      <td>S1288</td>\n",
       "      <td>7689-03-4</td>\n",
       "      <td>104842</td>\n",
       "      <td>(SN-38, S4908, 86639-52-3) (Irinotecan, S1198,...</td>\n",
       "      <td>4.609530</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-3.321928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>Vinblastine</td>\n",
       "      <td>Velban</td>\n",
       "      <td>Microtubule destabiliser</td>\n",
       "      <td>Mitosis</td>\n",
       "      <td>S1248</td>\n",
       "      <td>143-67-9</td>\n",
       "      <td>6710780</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.297122</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-3.321928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>Cisplatin</td>\n",
       "      <td>cis-Diammineplatinum(II) dichloride, Platinol,...</td>\n",
       "      <td>DNA crosslinker</td>\n",
       "      <td>DNA replication</td>\n",
       "      <td>S1166</td>\n",
       "      <td>15663-27-1</td>\n",
       "      <td>84691</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.203618</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.584963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Drug Name  \\\n",
       "Drug ID                        \n",
       "1                  Erlotinib   \n",
       "1001     AICA Ribonucleotide   \n",
       "1003            Camptothecin   \n",
       "1004             Vinblastine   \n",
       "1005               Cisplatin   \n",
       "\n",
       "                                                  Synonyms  \\\n",
       "Drug ID                                                      \n",
       "1        Tarceva, RG-1415, CP-358774, OSI-774, Ro-50823...   \n",
       "1001     AICAR, N1-(b-D-Ribofuranosyl)-5-aminoimidazole...   \n",
       "1003     7-Ethyl-10-Hydroxy-Camptothecin, SN-38, Irinot...   \n",
       "1004                                                Velban   \n",
       "1005     cis-Diammineplatinum(II) dichloride, Platinol,...   \n",
       "\n",
       "                           Target   Target Pathway Selleckchem Cat#  \\\n",
       "Drug ID                                                               \n",
       "1                            EGFR   EGFR signaling            S7786   \n",
       "1001                 AMPK agonist       Metabolism            S1802   \n",
       "1003                         TOP1  DNA replication            S1288   \n",
       "1004     Microtubule destabiliser          Mitosis            S1248   \n",
       "1005              DNA crosslinker  DNA replication            S1166   \n",
       "\n",
       "          CAS number  PubCHEM  \\\n",
       "Drug ID                         \n",
       "1        183321-74-6   176870   \n",
       "1001       2627-69-2    65110   \n",
       "1003       7689-03-4   104842   \n",
       "1004        143-67-9  6710780   \n",
       "1005      15663-27-1    84691   \n",
       "\n",
       "                                                    Others   entropy  \\\n",
       "Drug ID                                                                \n",
       "1                                (S1023, 183319-69-9, HCl)  7.045609   \n",
       "1001                                                   NaN  6.034272   \n",
       "1003     (SN-38, S4908, 86639-52-3) (Irinotecan, S1198,...  4.609530   \n",
       "1004                                                   NaN  4.297122   \n",
       "1005                                                   NaN  7.203618   \n",
       "\n",
       "         max_conc  log2_max_conc  \n",
       "Drug ID                           \n",
       "1             2.0       1.000000  \n",
       "1001       2000.0      10.965784  \n",
       "1003          0.1      -3.321928  \n",
       "1004          0.1      -3.321928  \n",
       "1005          6.0       2.584963  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_df = pd.merge(drug_df, entropy_df, left_index=True, right_index=True)\n",
    "drug_df = pd.merge(drug_df, drug_max_dosage_df, left_index=True, right_index=True)\n",
    "\n",
    "\n",
    "print (drug_df.shape)\n",
    "drug_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:44.999410Z",
     "start_time": "2020-07-14T06:32:44.995338Z"
    }
   },
   "outputs": [],
   "source": [
    "drug_id_name_dict = dict(zip(drug_df.index, drug_df['Drug Name']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drug HN dosages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tissue info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.031259Z",
     "start_time": "2020-07-14T06:32:45.002282Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>TCGA_CLASS</th>\n",
       "      <th>TISSUE</th>\n",
       "      <th>SUBTYPE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CELL_LINE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1287381</th>\n",
       "      <td>201T</td>\n",
       "      <td>LUAD</td>\n",
       "      <td>lung</td>\n",
       "      <td>lung_NSCLC_adenocarcinoma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924100</th>\n",
       "      <td>22RV1</td>\n",
       "      <td>PRAD</td>\n",
       "      <td>urogenital_system</td>\n",
       "      <td>prostate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>910924</th>\n",
       "      <td>23132-87</td>\n",
       "      <td>STAD</td>\n",
       "      <td>digestive_system</td>\n",
       "      <td>stomach</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687561</th>\n",
       "      <td>42-MG-BA</td>\n",
       "      <td>GBM</td>\n",
       "      <td>nervous_system</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287706</th>\n",
       "      <td>451Lu</td>\n",
       "      <td>SKCM</td>\n",
       "      <td>skin</td>\n",
       "      <td>melanoma</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               NAME TCGA_CLASS             TISSUE                    SUBTYPE\n",
       "CELL_LINE                                                                   \n",
       "1287381        201T       LUAD               lung  lung_NSCLC_adenocarcinoma\n",
       "924100        22RV1       PRAD  urogenital_system                   prostate\n",
       "910924     23132-87       STAD   digestive_system                    stomach\n",
       "687561     42-MG-BA        GBM     nervous_system                     glioma\n",
       "1287706       451Lu       SKCM               skin                   melanoma"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tissue_df = pd.read_csv('../data/GDSC/GDSC_tissue_info.csv', index_col=0)\n",
    "tissue_df.index = tissue_df.index.astype(str)\n",
    "\n",
    "tissue_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.041186Z",
     "start_time": "2020-07-14T06:32:45.033749Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hn_cl_list = tissue_df[tissue_df['TCGA_CLASS']=='HNSC'].index\n",
    "len(hn_cl_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count and median IC50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.061664Z",
     "start_time": "2020-07-14T06:32:45.043802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_cl</th>\n",
       "      <th>num_cl_hn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>393</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>883</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>890</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>891</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>891</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      num_cl  num_cl_hn\n",
       "1        393          4\n",
       "1001     883         33\n",
       "1003     890         33\n",
       "1004     891         34\n",
       "1005     891         34"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_cl_df = pd.DataFrame(np.sum(~ic50_df.isnull()), columns=['num_cl'])\n",
    "num_cl_df.loc[:, 'num_cl_hn'] = np.sum(~ic50_df.loc[hn_cl_list].isnull())\n",
    "\n",
    "num_cl_df.index = num_cl_df.index.astype(str)\n",
    "num_cl_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.116843Z",
     "start_time": "2020-07-14T06:32:45.063876Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>log2_median_ic50</th>\n",
       "      <th>median_ic50</th>\n",
       "      <th>median_ic50_3f</th>\n",
       "      <th>log2_median_ic50_3f</th>\n",
       "      <th>median_ic50_9f</th>\n",
       "      <th>log2_median_ic50_9f</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.248687</td>\n",
       "      <td>76.040010</td>\n",
       "      <td>25.346670</td>\n",
       "      <td>4.663724</td>\n",
       "      <td>8.448890</td>\n",
       "      <td>3.078762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>10.861657</td>\n",
       "      <td>1860.735418</td>\n",
       "      <td>620.245139</td>\n",
       "      <td>9.276695</td>\n",
       "      <td>206.748380</td>\n",
       "      <td>7.691732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>-5.793488</td>\n",
       "      <td>0.018030</td>\n",
       "      <td>0.006010</td>\n",
       "      <td>-7.378451</td>\n",
       "      <td>0.002003</td>\n",
       "      <td>-8.963413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>-6.119126</td>\n",
       "      <td>0.014387</td>\n",
       "      <td>0.004796</td>\n",
       "      <td>-7.704089</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>-9.289051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>3.579413</td>\n",
       "      <td>11.953929</td>\n",
       "      <td>3.984643</td>\n",
       "      <td>1.994451</td>\n",
       "      <td>1.328214</td>\n",
       "      <td>0.409488</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       log2_median_ic50  median_ic50  median_ic50_3f  log2_median_ic50_3f  \\\n",
       "index                                                                       \n",
       "1              6.248687    76.040010       25.346670             4.663724   \n",
       "1001          10.861657  1860.735418      620.245139             9.276695   \n",
       "1003          -5.793488     0.018030        0.006010            -7.378451   \n",
       "1004          -6.119126     0.014387        0.004796            -7.704089   \n",
       "1005           3.579413    11.953929        3.984643             1.994451   \n",
       "\n",
       "       median_ic50_9f  log2_median_ic50_9f  \n",
       "index                                       \n",
       "1            8.448890             3.078762  \n",
       "1001       206.748380             7.691732  \n",
       "1003         0.002003            -8.963413  \n",
       "1004         0.001599            -9.289051  \n",
       "1005         1.328214             0.409488  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median_df = ic50_df.median().reset_index().set_index('index')\n",
    "median_df.index = median_df.index.astype(str)\n",
    "median_df.columns = ['log2_median_ic50']\n",
    "median_df['median_ic50'] = np.power(2, median_df['log2_median_ic50'])\n",
    "\n",
    "median_df['median_ic50_3f'] = median_df['median_ic50'] / 3\n",
    "median_df['log2_median_ic50_3f'] = np.log2(median_df['median_ic50_3f'])\n",
    "\n",
    "median_df['median_ic50_9f'] = median_df['median_ic50'] / 9\n",
    "median_df['log2_median_ic50_9f'] = np.log2(median_df['median_ic50_9f'])\n",
    "\n",
    "median_df.index = median_df.index.astype(str)\n",
    "median_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.144979Z",
     "start_time": "2020-07-14T06:32:45.118882Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>log2_median_ic50_hn</th>\n",
       "      <th>median_ic50_hn</th>\n",
       "      <th>median_ic50_3f_hn</th>\n",
       "      <th>log2_median_ic50_3f_hn</th>\n",
       "      <th>median_ic50_9f_hn</th>\n",
       "      <th>log2_median_ic50_9f_hn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.764640</td>\n",
       "      <td>217.465095</td>\n",
       "      <td>72.488365</td>\n",
       "      <td>6.179678</td>\n",
       "      <td>24.162788</td>\n",
       "      <td>4.594715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>9.939784</td>\n",
       "      <td>982.139588</td>\n",
       "      <td>327.379863</td>\n",
       "      <td>8.354822</td>\n",
       "      <td>109.126621</td>\n",
       "      <td>6.769859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>-7.587491</td>\n",
       "      <td>0.005199</td>\n",
       "      <td>0.001733</td>\n",
       "      <td>-9.172454</td>\n",
       "      <td>0.000578</td>\n",
       "      <td>-10.757416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>-7.150982</td>\n",
       "      <td>0.007036</td>\n",
       "      <td>0.002345</td>\n",
       "      <td>-8.735945</td>\n",
       "      <td>0.000782</td>\n",
       "      <td>-10.320907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>3.486279</td>\n",
       "      <td>11.206619</td>\n",
       "      <td>3.735540</td>\n",
       "      <td>1.901317</td>\n",
       "      <td>1.245180</td>\n",
       "      <td>0.316354</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       log2_median_ic50_hn  median_ic50_hn  median_ic50_3f_hn  \\\n",
       "index                                                           \n",
       "1                 7.764640      217.465095          72.488365   \n",
       "1001              9.939784      982.139588         327.379863   \n",
       "1003             -7.587491        0.005199           0.001733   \n",
       "1004             -7.150982        0.007036           0.002345   \n",
       "1005              3.486279       11.206619           3.735540   \n",
       "\n",
       "       log2_median_ic50_3f_hn  median_ic50_9f_hn  log2_median_ic50_9f_hn  \n",
       "index                                                                     \n",
       "1                    6.179678          24.162788                4.594715  \n",
       "1001                 8.354822         109.126621                6.769859  \n",
       "1003                -9.172454           0.000578              -10.757416  \n",
       "1004                -8.735945           0.000782              -10.320907  \n",
       "1005                 1.901317           1.245180                0.316354  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median_hn_df = ic50_df.loc[hn_cl_list].median().reset_index().set_index('index')\n",
    "median_hn_df.index = median_hn_df.index.astype(int)\n",
    "median_hn_df.columns = ['log2_median_ic50_hn']\n",
    "median_hn_df['median_ic50_hn'] = np.power(2, median_hn_df['log2_median_ic50_hn'])\n",
    "\n",
    "median_hn_df['median_ic50_3f_hn'] = median_hn_df['median_ic50_hn'] / 3\n",
    "median_hn_df['log2_median_ic50_3f_hn'] = np.log2(median_hn_df['median_ic50_3f_hn'])\n",
    "\n",
    "median_hn_df['median_ic50_9f_hn'] = median_hn_df['median_ic50_hn'] / 9\n",
    "median_hn_df['log2_median_ic50_9f_hn'] = np.log2(median_hn_df['median_ic50_9f_hn'])\n",
    "\n",
    "median_hn_df.index = median_hn_df.index.astype(str)\n",
    "median_hn_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.151515Z",
     "start_time": "2020-07-14T06:32:45.147657Z"
    }
   },
   "outputs": [],
   "source": [
    "single_drug_id_list = ['1007', '133', '201', '1010', '182', '301', '302', '1012']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:45.160366Z",
     "start_time": "2020-07-14T06:32:45.154510Z"
    }
   },
   "outputs": [],
   "source": [
    "max_dosages = drug_df.loc[single_drug_id_list]['log2_max_conc'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-14T06:32:49.600333Z",
     "start_time": "2020-07-14T06:32:45.163175Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PK+0mvRAKOAM4dxLWkSRJkiRJU6yn6gAkSZIkSZIkdbSRiokGgJc1KYICIDM3Uz8V6hulW++NiHJhFcC8Unt7W1HWPVZq7zmONSRJkiRJUpeyEEqSJEmSJEnSaEY6menSzLxltImZuQt4C7Cr0B3AMS3s09dyhMP2GGNNSZIkSZI0g/lqPEnqIkuXLuWyyy4b8Z40XRYsWMCpp54KQE9PD8uWLQMgIvxdlCRJkmaezSP0f7qVyZnZHxHXAycUuo8Bbhpjn/IJUa0onwA1Uuzt+CRwdZtzDgOunYS9JRWYG2ufPzNJkiTNNhZCSVIXWbBgAaeddlrVYUjMmzePo48+GoDe3l5WrVoFwOrVq6sMS5IkSdIUyMytETEA9Ba6NwG3tbHMzexeCPXMJmPKRUt7tbE+jdftTXohVGY+CDzYZiwT3VZSE+bG2ufPTJIkSbONr8aTJEmSJEmSNJZyIdBdjdfetSpL7f1b2OPgNtYHWMbuD37uAta3uYYkSZIkSepiFkJJkiRJkiRJGst/ldqPtjm/PH6fJmPKxVLL29yjPP6ezNzW5hqSJEmSJKmLWQglSZIkSZIkaSx3lNp7tDl/Xqm9pcmYn5TaR7a5xxFjrCdJkiRJkmY4C6EkSZIkSZIkjeXWUntZm/PLr8J7qMmY24EdhfaKiDiwjT2eV2r/sI25kiRJkiRpBrAQSpIkSZIkSdJYvgrsKrQPjYglbcx/Rqldfg0embkJWFPqfnEri0dEDTi+1P3llqOTJEmSJEkzgoVQkiRJkiRJkkaVmQ8C3y11n9zK3IiYA5xU6r5phOFfKrXf2MoewHHAoYX2A8AtLc6VJEmSJEkzhIVQkiRJkiRJklpxSan97ojYo4V5pwMHFNqPAteNMPYq4NeF9uqIeOFoizdOgzq31H1ZZu5qNl6SJEmSJM1cFkJJkiRJkiRJasWVwH8W2ocDl0TEiDnGiHg28OFS9ycz85Fm4xsnT32i1H1pRBw0SlzvAVYX2o8AHxllvCRJkiRJmqHmVB2AJKl169ev56yzzmp676KLLmLp0qXTHJFmq+3bt3PHHXcA0NPTw7p16wDYsGEDJ5xwAvPnz68yPEmSJElTIDN3RcQ7gW8CtUb3qcATIuLPMvMHQ2MjYhH119qdDywoLPNT4ANjbPXhxrpDp0gdCvxrRLwd+HJmDjb2OBg4B3hzaf6Fmbmh3e9PUuczN9a+LVu28I1vfKPpPXM4kiRJmokshJqFGkeWHwUcAewD7En9SPIHgVuBu4YSShPcZw7wbOC3gH2BAeB+4AeZeftE15dmo82bN3PFFVc0vXfeeeeZ7NG0efTRR/nUpz7V9N7atWtZsWLF9AYkSZIkaVpk5g0R8R7gfxe6jwe+HxHrgPuAvYDDgL7S9IeAUzJz0xh7bIiIV1F/fd68RvchwLXAxohYCywGlgO9penXAhe1/Y1J6grmxtr34IMPctJJJzW9Zw5HkiRJM1FlhVAR8bqq9h6SmZ+tOobpFBHPAN4JnALsMcrQX0TEZ4C/Gs/TcxGxAPgz4C3AkhHGJPAh4PLJKLqSJEmSJEmaSuayhmXmhyJiC/BRYG7h1gEMn+L0uGnAiZl5Z4t7rImIlwFXs3t+aTH1B/ya+TzwBnNNkiRJkiTNXlWeCHU5UHVSoiOSR1MtInqoHzn+bqCnhSlPAN4HvDkiTsvMr7ex11OpP3l36FhDgb8HXhURr8rMR1rdQ5IkSZIkqQKXYy7rNzLz4xHxTeA84GR2L4gqWgt8DPjbzNze5h43RsSRwLnUX5U30vubbgMuyMx/amd9SZIkSZI083TCq/Fq07zfYGPPqhNX0+kS4E1N+rcAPwO2Un913Up2//NYBlwbEb+Xmf8y1iYREcCNQPn84c1AP/VX8K1g98TYS4B/iYgXZua2lr4bSZIkSZKk6pjLasjMnwCvjoiFwNHAKmAR9VzQA8CtmZkT3OMB4IyIeFdjjyOonwq1HfgFcEtm3jWRPSRJkiRJ0sxRdSHUdCeOqtqzMhFxCo8vgrqD+ulQ38jMnYWx+1F/nd3ZQF+juw+4IiIiMx8eZZ851I8qLxZBbaD+Kr4rM3NHY9wS4E+B9zB8OtVzgQ8Dbx/P9yhJkiRJkjRNzGU1kZmPAl9vfKZqj63ADY2PJEmSJElSU1UWQr2+wr1nk3NL7e8Dx2bmr8sDM/NXwPsj4jvAdQz/fuwH/AnwwVH2eQPw1EL7YeAFmXlHaY8NwDkRcQfwfwq33hIRH8/MO1v4niRJFevp6WHPPff8Tbu3t/c3X3t6WnkLqyRJktR1zGVJkrpOT08PixYtGvGeJEmSNNNUVgiVmVdUtfdsERErgd8qdZ/RrAiqKDNvjIjPAG8udJ/ICIVQEdEHnFPqPqtcBFXa4/MR8d+B1za65gDnAX84WmySpM6wZMkSPvaxjwH14qdVq1YBsHr16irDkiRJkqaMuSxJUjdavnw5GzdurDoMSZIkadpY7j+zRal9X2b+R4tz/7HUftIoY18CPLHQvhu4rIU9zgMGC+1XRkTzR1MkSZIkSZIkSZIkSZKkUVgINbMtKbV/3sbce0vtxaOMfUWpfVlmDjYdWZCZPwNuLnTNBV7aWniSJEmSJEmSJEmSJEnSMAuhZrZHSu0925hbHrt+lLEvK7W/0cY+3yy1X97GXEmSJEmSJEmSJEmSJAmwEGqm+2GpfURE7NXi3N8ptb/XbFBELAMOKHQ9Btza4h4A3y21n9bGXEmSJEmSJEmSJEmSJAmwEGpGy8z7gH8tdO0BvH2seRGxB3BmqfszIww/otS+KzO3txwk3FFqPyki5rQxX5IkSZIkSZIkSZIkSbIQahb4X8CuQvv9EXHqSIMjYjFwDbsXOH05M7880pRS++ftBJeZvwK2Fbr6gEPbWUOSJEmSJEmSJEmSJEmq7OSdiOivau+Gwcw8rOIYplxmfici/gfwN0CN+p/55RHxVuCfgAS2AkuBZwOvAZYUlvgm8AejbLF/qX3fOML8JbCytOad41hHkiRJkiRpSpjLkiRJkiRJ6nxVvoJsBTBIvTinCoMV7TvtMvNTEZHAXwNPaXQ/q/EZST/wYeDTmblrlHELSu1fjyPE8pzymm2LiP2B/dqcZjJRkiRJkiSNZAXmsiRJkiRJkjpalYVQQ6pI4lSVsKpMZt4YEc8C3g+8E+gdZfi9wEXA58cogoLHFy1tazpqdFvHWHM8zgDOnYR1JEmSJEmSisxlSZIkSZIkdagqC6HuxSfZpk1E/AnwPuDAFoYvBz4JXBAR787Mvx9l7LxSe/s4wnus1N5zHGtIM8aaNWtGvHf//fePeO+WW27h3nvvbXmfWq3GsmXL2opNGvLII49w6aWX/qY9f/58ABYtWsRVV13FAQccUFVokiRJ0lQxlyVJ6jrr1q3j1a9+ddN75nAkSZI0E1VWCJWZK6raezaJiLnAlcDvF7o3AJ8AvgLcSf3VdEuBZwKvB36P+pOGS4DPRMQRmfnuEbYonwDVN44w9xhjTUlSh9mxYwc//elPm97bts3/GZckSdLMYy5LktSNtm3bxs033zziPUmSJGmm6YRX42lqfYrdi6C+B7wiM9eVxt0PfBn4ckT8LvAFhk97Oisi7sjMy5qsv7nULp8Q1YryCVDlNcfjk8DVbc45DLh2EvaWJkV/fz8DAwO79a1fv37E8XfffTebN7f+16evr88ToSRJkiRJkiRJkiRJM4aFUDNYRBwLvLHQ9SDw8sz81WjzMvNLEfFW4DOF7o9ExFWZubU0vFx1sdc4Qi3PmXAhVGY+SP37bVlETHRbaVINDAw8rhCq3B5r/FjrS5IkSZIkSZIkSZI0U/RUHYCm1NtL7Y+NVQRVcDlQfOfRvsDJTcaVi40ObnH9ooPGWFOSJEmSJEmSJEmSJEkalYVQM1RE1IAXlrq/3Or8zNwFfLXUvbrZ0FJ7eat7AETE/uz+Or3tQH87a0iSJEmSJEmSJEmSJEm+Gm/m2gdYVOpb2+Ya5fFPaDLmJ6X2YRHRl5nbW9zjiFL7Z5m5s8W50qwzf/58Xv7yl494T5ouxd/FWq3GvvvuC8AhhxzC4sWLqwxNkiRJkiTNUIsXL+bcc88d8Z4ez5+ZJEmSZpuuLISKiCcBJwEvoF5Is4Thop8TMvPGJnMOBOY2mlvbeEVct9qjSV+7BUY7Su3e8oDMXBcR64ADCvs+A/i3Fvd4Xqn9w7YilGaZ+fPnc+KJJ1YdhrTb72Jvby+rVq0CYPXqZocHSpIkSbObuSxJmhyLFy/mvPPOqzqMruLPTJIkSbNNVxVCRcRK4KPAiUCt0V0rDBkcZfp5wJsa17+KiCdk5sCkB9k5HmrSdxDtnQpVPgFqpITbV4E3FtovpvVCqBeX2i2/vk+SJEmSJKmTmcuSJEmSJEmaXj1VB9CqiPh94Fbgd3l83KMljYZ8tPG1BuwHNH+31AzReDXd/aXuF7a5zItK7Z+NMO5LpfbrI6LWdGRBRBwGHFPo2gF8rfXwJEmSJEmSOpO5LEmSJEmSpOnXFYVQEfFS4CpgYaG7BjwA/Ae7P0nXVGb+FPhuoevkyYyxQ91Qap8ZES2dAhYRxwDPHWO9IdcB9xXaK4DXt7DNeez+Z/ePmflIK/FJkiRJkiR1KnNZkiRJkiRJ1ej4QqiI2A+4Euil/rRcDbga+O3MPCgzn90Y2sqTdP/Y+FoDjp/sWDvQ50rt3wI+GRGj/rlHxJOAz5e672SE191l5mPAhaXuiyLiyFH2eA3w2kLXAHDuaHFJkiRJkiR1OnNZkiRJkiRJ1en4Qijgz4G9C+3/mZmvysz/HMda3ypcHxARyycWWmfLzOvY/XsGOB24OSJeVD4dKiL2jYh3Ad8HDirNe29mDoyy3WeA2wvtfYBvR8TrivtExJKI+AvgH0rzL2k86ShJkiRJktTNzGVJkiRJkiRVpKXXpFWlcXLRaxl+Qu6azLxoAkveAWwH+hrtI4B7J7BeN3gN8K/AoYW+5wPXA5sjYi2wFdgXWEnzo9k/mpnXjLZJZu6IiFcC3wGWNLqXAFcAfxMRPwP2bMQxtzT9e8BZ7XxTkiRJkiRJncZcliRJkiRJUrU6/USo5wCLGS7OuWAii2XmTuAXha4Z/xRdZq4DjgFuanJ7AfBU4HeAw3h8EdQO4M+Ad7e4138BLwTuabLPbwOH8/giqOuBl2Tm1lb2kCRJkiRJ6mDmsiRJkiRJkirU6YVQqwrXD47zCPGyjYXrRZOwXsfLzJ8DLwL+X+oFUbvGmPII8CngqZn5ocwcHGN8ca8fUS+u+iDw8ChD76T+mr4TMnPjKOMkSZIkSZK6hbksSZIkSZKkCnX0q/GA/RpfB4H7JmnNnYXrTv/+J01m7gKuBq6OiL2BZ1J/Fd5iYB7wKPAQ8GPgjsb48e61CXhvRJwLPBv4Leqv3hsA7gdunaREoDTrbNmyhRtuuKHpvRe96EXMnz9/miPSbLVz507uv/9+AHp6huuqFy5cyJFHHklfX99IUyVJkqSZzFyWJE2hjRs38rGPfazpvTPPPJPFixdPc0Sdb/v27dxxxx1N75nDkSRJ0kzU6cmTYjHOZJ1etaRwPdqJRTNWo1DpW43PVO6zA/hO4yNpEmzZsoWvfOUrTe8997nPtRBK02bjxo1ccEHzt3ysXbuWFStWTG9AkiRJUmcwlyVJU2jjxo2cf/75Te+ddtppFkI18ctf/pKjjjqq6T1zOJIkSZqJOv3VeL9qfK0BB0x0sYiYDxxC/am84vqSJEmSJEnSRJnLkiRJkiRJqlCnF0LdXbg+ICIOmeB6x1E/BavWaP9wgutJkiRJkiRJQ+4uXJvLkiRJkiRJmmadXgj178Bmhp96O22C672zcH1vZvZPcD1JkiRJkiRpiLksSZIkSZKkCnV0IVRm7gC+Tv2ptxrwpxGxYjxrRcSbgBdST0QNAl+cpDAlSZIkSZIkc1mSJEmSJEkV6+hCqIbzgV3UEz57A9e1m0CKiDcDn2isUQO2AhdNbpiSJEmSJEmSuSxJkiRJkqSqzKk6gLFk5u0R8SngrdSTP6uA/4yIjwH/kJk/LU0ZBIiIA6g/Nfc/gGdTTxoN3T8vM381HfFLkjQTLVmyhL/8y78EoLe3l5UrVwLwvOc9j4ULF1YZmiRJklQpc1mSpE6yfPlyHn744ab3zOFIkiRpJur4QqiGM6knjU6gnvzZC3gv8N6I+HVjTK1x74sRsSewZ2H+0L0a8MXM9Ak6SZImoKenh/nz5wP1Qqi9994bgMWLF1cZliRJktQpzGVJkjpCT0+P+RpJkiTNKt3wajwycwA4CfgHhhNBNK4XlNr7AvMb17XCMjXgEuCPpiFkSZIkSZIkzVLmsiRJkiRJkqrRFYVQAJm5NTNPBf4ASHY/Hnzoa/lDY9xdwB9k5lsyc+f0RS1JkiRJkqTZyFyWJEmSJEnS9OuWV+P9RmZ+AfhCRLwEeCnwAuAIYI/CsJ3APcC3gK8D/5yZu6Y7VkmSJEmSJM1u5rIkSZIkSZKmT9cVQg3JzOuA64baETEfWAxsycyNlQUmSZIkSZIklZjLkiRJkiRJmnpdWwhVlplbgC1VxyFJkiRJkiSNxVyWJEmSJEnS5OupOgBJkiRJkiRJkiRJkiRJmigLoSRJkiRJkiRJkiRJkiR1PQuhJEmSJEmSJEmSJEmSJHW9OVUHMJaIeD5wc6Hr+Mz81jjWeSHwzUZzEHh2Zv5gEkKUJGnW2bx5M9dccw0AtVqNhQsXAvD3f//3XHTRRSxdurTK8CRJkqTKmMuSJHWS9evXc9ZZZzW9Zw5HkiRJM1HHF0IBbwZqjevvjSdxBJCZN0bEbcDTG+udDpg8kiRpHLZt28a//du/Nb133nnnmUSTJEnSbGYuS5LUMTZv3swVV1zR9J45HEmSJM1EHf1qvIjoAV5K/am3QeD/THDJzza+DgK/O8G1JEmSJEmSpN8wlyVJkiRJklStji6EAp4K7MPwU3RfneB6Q/NrwLKIiAmuJ0mSJEmSJA0xlyVJkiRJklShTi+EOqJwvTEz+yeyWGb+DNhY6HrKRNaTJEmSJEmSCsxlSZIkSZIkVajTC6EOaHwdBH4xSWveV7h+wiStKUmSJEmSJJnLkiRJkiRJqtCcqgMYw/zC9a8nac3iOgsmaU1Jmhbz5s3juc997oj3pOlS/F2s1WosXLgQgGXLlrFggf94lSRJ0qxlLkuSptCCBQs49dRTR7ynx/NnJkmSpNmm0wuhHilc7ztJay4pXG+ZpDUlaVosWLCA0047reowpN1+F3t7e1m1ahUAq1evrjAqSZIkqXLmsiRpCi1dupTLL7+86jC6ij8zSZIkzTad/mq8XzW+1oAnRsSeE1ksIuYDh1A/nry4viRJkiRJkjRR5rIkSZIkSZIq1OmFUD8pXN+bIy4AACAASURBVPcBJ0xwvZc01qk12j+b4HqSJEmSJEnSEHNZkiRJkiRJFeroQqjM/DHwIPWn3mrAn09wyXMYfoJuI/C9Ca4nSZIkSZIkAeayJEmSJEmSqtbRhVAN/8zwU29HRcTF41mkMe+oRnMQ+OfMHBxliiRJkiRJktQuc1mSJEmSJEkV6YZCqAuB7Qw/SfeOiPhsRCxsZXJELIyIfwDeUVhjB3DBFMUrSZIkSZKk2ctcliRJkiRJUkXmVB3AWDLz5xHxQeBchpM/fwj8bkR8Fvga8P3MXD80JyKWAs8EXgr8EbCQ4SfxBoEPZeba6fsuJEmSJEmSNBuYy5IkSZIkSapOxxdCAWTm+RHxW8DvM5xAWgi8tfEhIgaBLcB8hhNFsHvSqAZ8MTPPnabQJUmSJEmSNMuYy5IkSZIkSapGN7wab8gfAH9FPQE02PjQaNeofy8LGl+H+iiMA/go8NrpCFaSJEmSJEmzmrksSZIkSZKkadYVJ0IBZOZO4J0R8XXqR4s/p3B7sMmUYgLpO8D5mXnD1EYpSVNr27Zt3HrrrU3vPf3pT2fevHnTHJFmq127drFt2zYAent72bRpEwAbN25k4cKF9PR0U621JEmSNPnMZUnS5Nu8eTPXXHNN03unnHIKCxYsmOaIOt+uXbt49NFHm94zhyNJkqSZqGsKoYZk5nXAdRHxLOAE4AXAYcASYG9gE7ABuBP4NvD1zLytonAlaVJt3ryZK664oum9ww8/3EIoTZsNGzZw9tlnN723du1aVqxYMb0BSZIkSR3KXJYkTZ7169fz+te/vum9Y4891kKoJu69914OPfTQpvfM4UiSJGkm6rpCqCGZ+R/Af1QdhyRJkiRJkjQWc1mSJEmSJElTzzNPJUmSJEmSJEmSJEmSJHU9C6EkSZIkSZIkSZIkSZIkdT0LoSRJkiRJkiRJkiRJkiR1PQuhJEmSJEmSJEmSJEmSJHW9OVUHIEmSus/ixYs555xzAOjp6WH58uUAPOMZz+Cggw6qMjRJkiRJkiQ1HHTQQdx2220j3pMkSZJmGguhJElS2+bMmcMTn/hEAHp7e1m1ahUAT3va06oMS5IkSZIkSQV9fX3mayRJkjSr+Go8SZIkSZIkSZIkSZIkSV3PQihJkiRJkiRJkiRJkiRJXc9CKEmSJEmSJEmSJEmSJEldz0IoSZIkSZIkSZIkSZIkSV1vTtUBSJIkSZIkSZIkSbVareoQJEmS1OUshJIkSZIkSZIkSVKlent7WbZsWdVhSJIkqcv5ajxJkiRJkiRJkiRJkiRJXa+yE6EiYnWh+aPMfKSqWCRJkiRJkqTRmMuSJHWiW265hXvvvXfS163VapWezrRmzZpp33P16tVjD5IkSVLHq/LVeDcBg43rFwM3NhtkkkmSpM6zZcsWbrjhBqCeGNt3330BuPHGGznzzDNZvHhxleFJkiRJU+EmzGVJkrrMpk2buOaaa5reO+WUU9h7772nOSJJkiRpalVZCAVQYziBNJKbaCHJJEmSps+WLVv4yle+0vTeaaedZiGUJEmSZipzWZKkjnL33XezefPmEe+vX7+eyy+/vOm9Jz/5ySxdurTpvb6+vkpPhBrS39/PwMDAlK3f29vLypUrp2x9SZIkTb+qC6HGShwNaSXJJEmSJEmSJE0lc1mSpI4yMDAwaqHQWPdGuj+VxUftGOv7kyRJksp6Ktx7J/WkEIxdkGXiSJIkSZIkSVUylyVJkiRJktThqiyEerhwfXBlUUiSJEmSJEljM5clSZIkSZLU4aoshPpp4fp1lUUhSZIkSZIkjc1cliRJkiRJUocb6xjvqXQj8LzG9Qsi4nrgUuB24FGaHyG+LCKWT1YAmXnvZK0lSdNh7ty5HH744SPek6ZL+Xdx/vz5ACxatIh58+ZVFZYkSZI0lcxlSVLF5s2bxzHHHDPiPT2e+URJkiTNNlUWQn0SOAsY+reT4xqfZmqNr5+bxP0Hqfb7l6S2LVq0iHe9611VhyHt9rvY29vLqlWrAFi9enWVYUmSJElTyVyWJFXsgAMO4Kabbqo6jK5iPlGSJEmzTWWvxsvMB4A3sPvTcrUmH8a4P5GPJEmSJEmSNCZzWZIkSZIkSZ2vskIogMz8AnAs8ANM5kiSJEmSJKmDmcuSJEmSJEnqbJUfp52Z3wF+JyICeC5wOLCY+jHjNeBUhp+0+yZwfxVxSpIkSZIkSeayJEmSJEmSOlflhVBDMjOBLPdHxKmF5ocz88bpi0qSJEmSJEl6PHNZkiRJkiRJnafSV+NJkiRJkiRJkiRJkiRJ0mTomBOhxlCrOgBJkiRJkiSpReayJEmSJEmSKtANhVDHFa5/VFkUkiRJkiRJ0tjMZUmSJEmSJFWk4wuhMvPmqmOQJEmSJEmSWmEuS5IkSZIkqTodXwglSRq2Y8cO+vv7m95buXIlc+fOneaIJEmSJEmSpOmxbds2/v3f/73pvec85znMmzdvmiOSJEmS1Gm6uhAqIuYBzwKWA/sAewObgIeBe4DvZ+a26iKUpMn1yCOPcPHFFze9d+GFF7J06dJpjkiz1YYNG3j/+9//m3Zvb+9vvv74xz9m+fLlVYUmSZIkdSxzWZI0MevWreO4445rem/t2rWsWLFiegPqAuUcTtH73vc+lixZMs0RSVL3qNVqVYcgSRqHriuEiog9gNcAfww8A+gdZfjOiPg+8HfAlZm5fRpClCRpxtu1axdbt24d8Z4kSZKkOnNZkqQqmcORpPHp7e1l2bJlVYchSRqHriqEioiXAJ8BDmx0jVWGOxd4TuNzQUS8ITO/OYUhdp2ICOC3gYOB+cBW4AHgp8CPMvOxCaw9DzgaeDL1pxy3A/cBt2Rm83d7SZIkSZIkzRDmsiRJkiRJkqZX1xRCRcSfA+cxnDAabHxGSyANNr7WgCcAX4+I92XmhVMVZzeIiL2BtwFvAg4dZej2iPgecE1m/lUb6+8HnAucBuw1wpgfAH+Rmde2uq4kSZIkSVK3MJclSZIkzQxr1qyZ9j1Xr1497XtK0kzRFYVQEXEGcH6jWUwIbQW+D/wIWA/8mnrhzVLqpxw9E9izNOf9EfFQZv7t9ETfWSLi5cClQCtnOfYBzwdWAS0VQkXEscDV1P8MRvMM4J8j4rPA6R71LkmSJEmSZgpzWZIkSZIkSdXo+EKoiFgOfJTdE0DrqD9Rd2Vmbhpl7gLgNdRPJzqQ4afuLo6Ir2XmvVMYeseJiHdS/1mWnzzcBvySegJuT+o/q7EKmZqt/3zga401ijYCa6m/Hu+JQG/h3uuABRFxSmYOIkmSJEmS1MXMZUmSJEkzU39/PwMDA1O2fm9vLytXrpyy9SVptuj4Qijg/cAeDCePbgROzsxHx5qYmZuBv4uIK4FrgBc31tmDevLpDVMRcCeKiDcCF5e6/wX4a+BbmflYafxBwAuB3wN+p4X19wG+wO5FUPcA7wC+NFTkFBEHA+cAby6MOxl4Z5P4JEkdauHChbzlLW8BoKenhwMPPBCApzzlKey///5VhiZJkiRVzVyWJKljFHM4ze5Jklo3MDAwpYVQkqTJ0dGFUBExBziJ4aff/n/gv2fmjnbWycxNjVfC/QB4SmOtkyPi9Myc8f+0iognAZ8odO0ATs3MK0eak5m/BD4HfK5R5DSWdwMHFdprgec31imuex/wJxFxL3Bh4db7IuKyzHy4hb0kSRXr6+vjaU97GlB/SmXVqlWA7y2XJEnS7GYuS5LUaYo5HEmSJGk26Kk6gDEcDexNPdkzCLyr3cTRkMa8dzH8Wri9G+vPBn8HzCu0/3C0IqiysYqTImI/4G2l7tPLRVAlHwTWFNqLgLNajUmSJEmSJKkDmcuSJEmSJEmqUKcXQh1auN4IXD/B9a4HikU9M/4lqxHxCuC4QtfVmXn1JG/zamBBob0mM28YbULjVXnnl7rfEBG1ZuMlSZIkSZK6gLksSZIkSZKkCnV6IdT+ja+DwN2N4plxa8y/p9C130TW6xJ/XGqXi48mwytK7c+0OO9b1F+hN+QA4DmTEpEkSZIkSdL0M5clSZIkSZJUoU4vhBooXM+dpDV7C9e7JmnNjhQRTwBeUuj6YWbePsl7LABWl7q/0crcRjKv/GTkyycjLkmSJEmSpAqYy5IkSZIkSapQpxdCPdj4WgMOiYgJJZAa81c0WX+m+n/YPVn2rSnY4ynsnthbm5nr2pj/3VL7aRMPSZIkSZIkqRLmsiRJkiRJkio0p+oAxnBn4XoBcCLwTxNY70Rg7xHWn4meVWr/aOgiIo4CXg8cAywH9qCeTLsTuA64MjN/0cIeR5Tad7QZY3l8eT1JkiRJkqRuYS5LkiRJkiSpQp1+ItT3gIeAQepP0n00IhaOZ6HGvIsaawFsaKw/k5ULofojYkFEfAa4FXgb8N+AxcCewCHA8cBHgDsj4gMtPLkYpfbP24yxPP6QiJjX5hqSJEmSJEmdwFyWJEmSJElShTq6ECozB4EvUE8cDVIv1PlWRDyhnXUi4iDgBupHiQ+tdWVj/ZnsSaX2LmAN8IYW5u4JvAf4WkTsPcq4/Uvt+1oPD4AHgJ2Fdg+wb5trSJIkSZIkVc5cliRJkiRJUrU6/dV4AOcDf0T9OPFB4CjgJxFxMXB5Zq4daWJErABOA/4U2Ivhp/E2Ae+f0qgrFhE97H50OsBfU//5Qf1n8RXga9SLl/Zq3Psj4KDCnOOBy4HfH2GrBaX2r9uJMzMHI2JrKdbymm2LiP2B/dqcdthE95Wk2WLbtm3ceuutAPT09HDXXXcB0N/fzymnnMKCBRP+n3JJkiSpW5nLmmSN08OPBp4M7ANsp57PuiUz+6uMTZI6XTGHU/b0pz+defN8QYMkSZJmlo4vhMrMX0XE6cDnGX4Cbi/gHOCciLgH+DGwnnoRzl7UTxT6bepP3VGYVwMGgDdl5vrp/D4qsIj691v09MbXh4CTMvPbpftfiIgLgEuA1xT6T46I12XmZ5vsU/4v3dvGEeukF0IBZwDnTsI6kqQmNm/ezBVXXNH03rHHHmshlCRJkmat2Z7LiogrgVeXuu/JzBXjWGs/6vmd06j/nJqN+QHwF5l5bbvrS9JsMFoO5/DDD7cQSpIkSTNOxxdCAWTmFyNiEfAJ6jEPJYKgfkT4IU2mFYuAhsbvAN6amddMXbQdY6T/Aj0AvCwzb2l2MzM3R8QfAUuBEwq33hsR/9DkCPbyvyVtH0esj5Xae45jDWlKrFmzZlr2qdVqLFu2bFr2kiRJkiRNrdmay4qIE3l8EdR41zoWuJp6jmo0zwD+OSI+C5yemePJTUmSJEmSpBmip+oAWpWZnwaeC9zOcGJosPFppnivRv1Ju+dk5qVTGWcHGelkpktHKoIakpm7gLcAuwrdARzTwj59LUc4bI8x1pQkSZIkSeoqsy2X1Sj8+tQkrfV84Gs8vghqI3AbcDf1h/2KXgdcGRHlE9IlSZIkSdIs0hUnQg3JzFuB/xYRJwBvBFYDox2h8gBwM/Xin+unIcROsnmE/k+3Mjkz+yPienY/FeoY4KYx9hnPObrlE6BGir0dn6T+1GA7DgM8Rl1N9ff3MzBQzrFOnr6+Pk+EkiRJkqQZZpblsj4CPKFxPfTKv7ZFxD7AF9g9X3QP8A7gS0OnlUfEwdRfN/jmwriTgXcCF49nb0mSJEmS1P26qhBqSGZ+A/gGQEQcQv048X2ovw5uM/AwcE9m3lNZkBXLzK0RMQD0Fro3UX9qrlU3s3sh1DObjCkXLbWV5Go8pTfphVCZ+SDwYJuxTHRbzWADAwNTWgg1lWtLkiRJkqo103NZjdfYvanR3AWcD3x4nMu9Gzio0F4LPD8zf1kclJn3AX8SEfcCFxZuvS8iLsvMh8e5vyRJkiRJ6mJdWQhV1EgQdWWSaBo8CBxYaN/VeO1dq7LU3n+EPYoObmN9qD8FWfw93AWsb3MNadbo7e1l3333HfGeNF3Kv4vz5tUPBJwzZw5z5nT9/72QJEmSpsxMy2VFxJ7ApQy//u/jwH+Mc639gLeVuk8vF0GVfBB4CfXTtgAWAWcBZ48nBkmdbc6cORxyyCEj3tPjmU+UJEnSbOO/Gcxs/8XuhVCPtjm/PH6fJmPKxVLL29yjPP6ezNzW5hrSrLHPPvvwgQ98oOowpN1+F/v6+jj66KMBWLduHf39/fT3909bLKtXrx57kCRJkqSp8hfAYY3re6m/rq7ZqeKteDX1U7KGrMnMG0abkJmDEXE+UBz3hog4Z+g1epJmjoMPPpi777676jC6ivlESZIkzTY9VQegKXVHqb1Hm/Pnldpbmoz5Sal9ZJt7HDHGepIkSZIkSepAEfEs4MxC11szc/MElnxFqf2ZFud9i/or9IYcADxnAnFIkiRJkqQu5YlQM9utpfayNueXX4X3UJMxtwM7gLmN9oqIODAz729xj+eV2j9sIz5JUofq7+9nYGBgytbv7e1l5cqVU7a+JEmSpNFFxFzqhUpD71W6OjO/MoH1FjD8ersh32hlbuNUqOuB0wvdLwf+bbzxSJIkSZKk7uSJUDPbV4FdhfahEbGkjfnPKLXLr8EjMzcBa0rdL25l8YioAceXur/ccnSSpI41MDAw5R9JkiRJlXoP8NTG9Ubg7RNc7ykMP2gHsDYz17Ux/7ul9tMmGI8kSZIkSepCFkLNYJn5II9PAp3cytyImAOcVOq+aYThXyq139jKHsBxwKGF9gPALS3OlSRJkiRJUgUi4kjg7ELX/2qzaKmZI0rtO9qcXx5fXk+SJEmSJM0CFkLNfJeU2u+OiD1amHc6cECh/Shw3QhjrwJ+XWivjogXjrZ44zSoc0vdl2XmrmbjJUmSJEmSVL2I6KH+Sry+Rte3gU9PxtKl9s/bnF8ef0hEzJtAPJIkSZIkqQtZCDXzXQn8Z6F9OHBJI2nVVEQ8G/hwqfuTmflIs/GNk6c+Ueq+NCIOGiWu9wCrC+1HgI+MMl6SJEmSJEnVezvwnMb1duCPM3NwEtbdv9S+r835DwA7C+0eYN8JRSRJkiRJkrrOnKoD0NTKzF0R8U7gm0Ct0X0q8ISI+LPM/MHQ2IhYRP21ducDCwrL/BT4wBhbfbix7tApUocC/xoRbwe+PJQQi4iDgXOAN5fmX5iZG9r9/iRJkiRJkjQ9IuJQ4IJC1wcz8yeTtPyCUvvXTUeNIDMHI2IrsPcoa45LROwP7NfmtMMmY29JkiRJktQeC6Fmgcy8ISLeA/zvQvfxwPcjYh31J+z2op6g6StNfwg4JTM3jbHHhoh4FfXX5w0dO34IcC2wMSLWAouB5UBvafq1wEVtf2OSJEmSJEmaTn9HPYcE8BPGfnCuHeWipW3jWGNKCqGAM4BzJ2ktSZIkSZI0hSyEmiUy80MRsQX4KDC3cOsAhk9xetw04MTMvLPFPdZExMuAq4ElhVuLgaNGmPZ54A2TdIS6NOMNDAzw8MMPN723zz770NtbrjOUJEmSJGniIuKN1B+sAxik/kq87ZO4xbxSezxrP1Zq7znOWCR1qJ07d3Lffc3fnHnwwQczZ47/yUOSJEma7fy3glkkMz8eEd8EzgNOZveCqKK1wMeAv203oZWZN0bEkdSfkjsVmD/C0NuACzLzn9pZX5rtHn74Yc4+++ym9y688EKWLl06zRFpttq4cSMf//jHAajVauy1V/2h8J07d/KhD32oytAkSZIkTbKIOJDdT/O+NDO/PcnblE+AKp9a3oo9xlhTUpe77777OPTQQ5veW7t2LStWrJjegLpAMYdT9ra3vY3FixdPc0SSJEnS1LIQapbJzJ8Ar46IhcDRwCpgEbAZeAC4NTNzgns8AJwREe9q7HEE9VOhtgO/AG7JzLsmsockqVqjPYG5Y8eOaY5GkiRJ0hT7G+q5HYB1wP+cgj02l9rlE6JaUT4BqrzmeH2S+gno7TgMuHaS9pekcRsth7Nz585pjkaSJEmaehZCzVKZ+Sjw9cZnqvbYCtzQ+EiSJEmSJKnLRMQrgZMKXe/IzI1TsFW5aGmvdiZHRI0pKoTKzAeBB9uMZzK2liRJkiRJberoQqiI6GX3pMfWzPSYCUmSJEmSJHWcGZrL+kjh+quZ+cUp2qdcaHRwm/OXsXuucxewfkIRSZIkSZKkrtPRhVDAqcCnC+0XAzdWFIskSZIkSZI0mpmYy1pcuH5ZRAyOY41Dmsw7KjN/WGhn6f7yNvcoj78nM7e1uYYkSZIkSepyPVUHMIZlQK3xeSQzuz1xJEmSJEmSpJnLXNb4/aTUPrLN+UeMsZ4kSZIkSZoFOv1EqM2Nr4PAPVUGIkmShu2111688pWvBGDOnDmsWLECgE2bNrFw4UI2b948ymxJkiRpxjKXNX63AzuAuY32iog4MDPvb3H+80rtHzYdJUmzTDGH0+yeJEmSNNN0eiFUq4kOSZI0jfbcc0+OP/54APr6+jj66KMBWLduXZVhSZIkSVWbibmsVzBcnNSq3wYuKrQfAF5bGnNXsZGZmyJiDfCiQveLgc+OtVlE1IDjS91fbjlaSZrBijkcqUpr1qyZln1qtRrLli2blr0kSVJn6vRCqP9qfK0BT6wyEEmSJEmSJGkMMy6XlZk3tzsnInaWurZl5vUtTP0SuxdCvZEWCqGA44BDC+0HgFtamCdJkiRJkmaYji6EyszbI+J24CnAPhHx7Mw0iSFJkiRJkqSOYy5rwq4CPgAMvatpdUS8MDNvHGlC4zSoc0vdl2XmrimKUZIkTUB/fz8DAwNTtn5fX58nQkmSNMv1VB1AC/6ucH1+ZVFIkiRJkiRJYzOXNU6Z+SDwiVL3pRFx0CjT3gOsLrQfAT4y2bFJkqTJMTAwMOUfSZI0u3VDIdQnge9SP1L8xRFxUcXxSJIkSZIkSSMxlzUxHwbWFdqHAv8aEb/bOP0JgIg4OCL+FriwNP/CzNwwDXFKkiRJk65Wq1Gr1cYeKEkaUccXQmXmAHAi8B3qCaR3RsSaiDi20sAkSZIkSZKkEnNZE9MoYnoVsK3QfQhwLbAhIm6NiH7gbuDNpenXAhaeSZIkqSv19vaybNkyX+8oSRM0p+oAxhIR72tc3gysApYBzwNuiIgHgO8Da4FHgR3trJ2Z75/EUCVJkiRJkjTLmcuauMxcExEvA64GlhRuLQaOGmHa54E3ZObgVMcnSZIkSZI6V8cXQgHnAcUExiD1p+kADgBeNoG1Z0XySJIkSZIkSdPmPMxlTVhm3hgRRwLnAqcC80cYehtwQWb+07QFJ0lSl1uzZs207FOr1TzZRhqn6fp7WrR69epp31OSpkI3FEI1M9Enu2qTsIYkSZIkSZLUilmVy8rMmxgu/prIOg8AZ0TEu4CjgSOonwq1HfgFcEtm3jXRfSRJkiRJ0szRLYVQE06cSJKkybNjxw76+/sBmDt3Lr29vQBs2LCBI488ssrQJEmSpE5gLmsSZeZW4IbGR5LUhmIOp2zlypXMnTt3miNSJ+nv72dgYGDK1u/r6/NEKGmCpvrvaW9vLytXrpyy9SWpCt1QCHVc1QFIkqTdPfLII1x88cVN71111VXTHI0kSZLUUcxlSZI6xmg5nAsvvJClS5dOc0TqJAMDA1NaYDGVa0uzxVT/PZWkmajjC6Ey8+aqY5AkSZIkSZJaYS5LkiRJkiSpOj1VByBJkiRJkiRJkiRJkiRJE2UhlCRJkiRJkiRJkiRJkqSuZyGUJEmSJEmSJEmSJEmSpK5nIZQkSZIkSZIkSZIkSZKkrjen6gDGIyJqwDOBFwBHAEuARdQLu96VmbdVGJ4kTZmlS5dyySWXVB2GtNvvYl9fH0cffTQA69atA+DOO++sLDZJkiSp05jLkqTJsWLFCgYHB6sOo6uYT5QkSdJs01WFUBExFzgDeAdwSOl2DRgE9hlh7iXAixvNezLzuKmKU5IkSZIkSTKXJUmSJEmSNL265tV4EfEk4N+Bi4EV1JNFQ2rN5pR8oTFvBbA6Ip49uRFKkiRJkiRJdeayJEnqDrVajVqtlX80S5IkqRt0RSFURKwEvgM8jeGn5WhcF9sjyswbgSx0vWqSw5QkSZIkSZLMZUmS1CV6e3tZtmwZy5YtqzoUSZIkTZKOL4SKiD7ga8D+he57qB8pfgSwgBYTSMA/Fq5fMlkxSpIkSZIkSWAuS5IkSZIkqUpzqg6gBWcAhzOcHPr/gNdm5tahARHR6lr/AryXerLpyRGxb2Y+NImxSpIkSZIkaXYzlyVJUhdas2ZNJfuuXr26kn0lSZJmqo4/EQo4k+HE0a3Aq4uJozb9kN2ftjtyIoFJkiRJkiRJJeayJEmSJEmSKtLRJ0JFxBHA8kZzEDg7M3eMd73M/HVE/AI4uNF1GPDtiUUpSZIkSZIkmcuSJGkm6O/vZ2BgYEr36O3tZeXKlVO6hyRJ0mzV0YVQwFGF683A9ZOw5sMMJ48WT8J6kiRJkiRJEpjLkiSp6w0MDEx5IZQkSZKmTqe/Gm+/xtdBYG1m7pqENbcUrudPwnqSJEmSJEkSmMuSJEmSJEmqVKefCDWvcP3YJK25qHD96CStKUnTYv369Zx99tlN71144YUsXbp0miPSbPXoo4/yuc99DoCenp7fXD/22GOcddZZVYYmSfq/7N17nN1XXS/8z55JhrQJTVrSpoVSerGsA8gpIgUJGBqKorSoaOWiPrZAPQrHg3hB8RQpID3wAGqfwxEej9zqjSochZ4WzxFL23ATEcQjD7AAU1oKhN6StNMknWQ6zx+z0+7szn1mz2/vmff79dqv2Wut31rrO2FeJfnOd68FQJPksgB66Bvf+EZOO+20KcduvPHGnHrqqcsb0ADozOF0+7mf+7kcc8wxyxwRAAD0Vr8XQt3W8X7Rv90vpQwneWRH1+2LXRMAVqOxsbH8y7/8y5Rjv/zLv7zM0QAAQN+QywKgr8yUw3n+85+/zNEAAEDv9fvVeN9pf20leVQpZeNMD8/Bk5Ks72h/dZHrAQAAAMBhclkAGkvWqgAAIABJREFUAAAADer3QqhPJTmUZCKTCaQLFrneL3a831Nr/fwi1wMAAACAw+SyAAAAABrU14VQtda9mUwgtdqv3y6lHL2QtUopP5Dk5zKZiJpI8rdLFScAAAAAyGUBAAAANKuvC6Hafq/9dSLJaUn+vJSydj4LlFKekOR/JBnOZBJqIsmblzJIAAAAAIhcFgAAAEBj1jQdwGxqrf+zlHJDkmdkMunzY0k+U0p5Va312pnmllIekeSXk/ynJIc/fTeR5M9rrV/sYdgAsKIdddRReeYzn5kkGR4ezkknnZQk2bdvX9avX5/R0dEmwwMAgMbIZQHQTzpzOFONAQDAStP3hVBtz0/ymSSParefkOTvSim7kny+3Xf403H/uZTya0m+J8mZXWOtJP+a5JeWKW4AWJHWr1+fF7zgBUmSkZGRbN26NUmya9euJMl3v/vdxmIDAIA+IJcFQF/ozOEAAMBqMAhX46XWeluSZyepOTIRdFKS53Q82kqyPcmPJnl0u935/D8nOa/Wun/ZggcAAABgVZHLAgAAAGjGQBRCJUmt9WtJvj/JHyUZb3dPdHyd6Ginqz3enve0Wuu3eh8tAAAAAKuZXBYAAADA8huUq/GSJO1Pv72slHJZkl/O5KflvjeTn5CbyteT/K8kf1BrvXF5ogQAAAAAuSwAAACA5TZQhVCH1VpvSfLqJK8upWxKUpI8LMmmJPuS3J7kRp+YAwAAAKBpclkAAAAAy2MgC6E61Vr3JPlM03EAAAAAwGzksgAAAAB6Z6jpAAAAAAAAAAAAABZLIRQAAAAAAAAAADDwBv5qvMNKKQ9NsiHJaK317qbjAQAAAIDpyGUBAAAALL2BLIRqJ4pelOScJE9O8qh0nG5VSrkvyU1J/jHJDUneX2u9a/kjBYCVaXx8PLt3706SjIyM5JZbbkmS3HbbbTn++OObDA0AAPqOXBYATenM4XQ79thjMzw8vMwRAQBAbw1UIVQp5ZgklyV5cZKj2t2tKR4dTnJ6ktOSvCDJ75VS3pfkklrr3mUIFQBWtN27d+eSSy6ZcuzKK69c5mgAAKA/yWUB0LSZcjiXXXZZNm/evMwRAQBAbw3N/kh/KKU8I8mXk7w8ydF5IGk0McMr7eeOTvKyJF8qpWxfxrABAAAAWIXksgAAAACW30AUQpVSfiTJR5KclMlkUGdiqJXk7kweH/6l9te7O8bSfr7Vnn9NKeVHly14AAAAAFYVuSwAAACAZvT91XillIcnuTKTx4d3Jo0+luSKJNfXWr85xbxTkjwjyYVJntkxd12S95dSHltr/XaPwwcAAABgFZHLAgAAAGhO3xdCJXlbkmPywCfhbk3y87XWv5tpUq315iR/muRPSynPzmSi6fj28EPb6/5Mr4IGAAAAYFWSywIAAABoSF9fjVdKOSbJ8/JA4mh3kqfNljjqVmv930menmRPx1rPa68PAAAAAIsmlwUAAADQrH4/EeqcJA9pv59I8lu11n9byEK11q+XUl6d5I/aXSNJtif58GKDBFguxx57bC677LJpx2C5dP4sjoyM5IlPfGKS5Lbbbsvxxx+f0dHRJsMDAICmnBO5LICeOfnkk3PjjTdOO8aDyScCALDa9Hsh1CM73h9I8heLXO/Pk1yeZF277V9GwEAZHh7O5s2bmw4DjvhZHBkZuT/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\n",
      "text/plain": [
       "<Figure size 2400x3600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, nrows=4, figsize=(8,12))\n",
    "\n",
    "for ax, d, max_dosage in zip(axes.flatten(), single_drug_id_list, max_dosages):\n",
    "    vals = ic50_df[d].values\n",
    "    hn_vals = ic50_df.loc[hn_cl_list, d].values\n",
    "\n",
    "    sns.distplot(vals[~np.isnan(vals)], kde=False, norm_hist=False, color='black', bins=30, ax=ax)\n",
    "    sns.distplot(hn_vals[~np.isnan(hn_vals)], kde=False, norm_hist=False, color='orange', hist_kws={'alpha':0.8}, bins=10, ax=ax)\n",
    "    \n",
    "    d_median = np.median(hn_vals[~np.isnan(hn_vals)])\n",
    "    ax.axvline(x=d_median, color='black')\n",
    "    ax.axvline(x=d_median-np.log2(3), color='black', linestyle='--')\n",
    "    ax.axvline(x=max_dosage, color='black', linestyle=':')\n",
    "\n",
    "    ax.set_title('{} (ID {})'.format(drug_id_name_dict[d], d))\n",
    "    ax.set_xlabel('Log2(IC50)')\n",
    "    ax.set_ylabel('Number of cell lines')\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.savefig('../figure/supplementary_drug_dosages.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count sensitive cell lines (IC50 <= log2_max_conc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "sensitive_df = ic50_df <= drug_max_dosage_df[['log2_max_conc']].T.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_sensitive</th>\n",
       "      <th>num_sensitive_hn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1001</td>\n",
       "      <td>476</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1003</td>\n",
       "      <td>688</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1004</td>\n",
       "      <td>753</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1005</td>\n",
       "      <td>175</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      num_sensitive  num_sensitive_hn\n",
       "1                17                 1\n",
       "1001            476                27\n",
       "1003            688                30\n",
       "1004            753                33\n",
       "1005            175                 9"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sensitive_cnt_df = pd.DataFrame(sensitive_df.sum(), columns=['num_sensitive'])\n",
    "sensitive_cnt_df.loc[:, 'num_sensitive_hn'] = sensitive_df.loc[hn_cl_list].sum()\n",
    "\n",
    "sensitive_cnt_df.index = sensitive_cnt_df.index.astype(str)\n",
    "sensitive_cnt_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Merge all drug statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Drug Name</th>\n",
       "      <th>Synonyms</th>\n",
       "      <th>Target</th>\n",
       "      <th>Target Pathway</th>\n",
       "      <th>Selleckchem Cat#</th>\n",
       "      <th>CAS number</th>\n",
       "      <th>PubCHEM</th>\n",
       "      <th>Others</th>\n",
       "      <th>entropy</th>\n",
       "      <th>max_conc</th>\n",
       "      <th>...</th>\n",
       "      <th>median_ic50_9f</th>\n",
       "      <th>log2_median_ic50_9f</th>\n",
       "      <th>log2_median_ic50_hn</th>\n",
       "      <th>median_ic50_hn</th>\n",
       "      <th>median_ic50_3f_hn</th>\n",
       "      <th>log2_median_ic50_3f_hn</th>\n",
       "      <th>median_ic50_9f_hn</th>\n",
       "      <th>log2_median_ic50_9f_hn</th>\n",
       "      <th>num_sensitive</th>\n",
       "      <th>num_sensitive_hn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Erlotinib</td>\n",
       "      <td>Tarceva, RG-1415, CP-358774, OSI-774, Ro-50823...</td>\n",
       "      <td>EGFR</td>\n",
       "      <td>EGFR signaling</td>\n",
       "      <td>S7786</td>\n",
       "      <td>183321-74-6</td>\n",
       "      <td>176870</td>\n",
       "      <td>(S1023, 183319-69-9, HCl)</td>\n",
       "      <td>7.045609</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.448890</td>\n",
       "      <td>3.078762</td>\n",
       "      <td>7.764640</td>\n",
       "      <td>217.465095</td>\n",
       "      <td>72.488365</td>\n",
       "      <td>6.179678</td>\n",
       "      <td>24.162788</td>\n",
       "      <td>4.594715</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1001</td>\n",
       "      <td>AICA Ribonucleotide</td>\n",
       "      <td>AICAR, N1-(b-D-Ribofuranosyl)-5-aminoimidazole...</td>\n",
       "      <td>AMPK agonist</td>\n",
       "      <td>Metabolism</td>\n",
       "      <td>S1802</td>\n",
       "      <td>2627-69-2</td>\n",
       "      <td>65110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.034272</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>206.748380</td>\n",
       "      <td>7.691732</td>\n",
       "      <td>9.939784</td>\n",
       "      <td>982.139588</td>\n",
       "      <td>327.379863</td>\n",
       "      <td>8.354822</td>\n",
       "      <td>109.126621</td>\n",
       "      <td>6.769859</td>\n",
       "      <td>476</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1003</td>\n",
       "      <td>Camptothecin</td>\n",
       "      <td>7-Ethyl-10-Hydroxy-Camptothecin, SN-38, Irinot...</td>\n",
       "      <td>TOP1</td>\n",
       "      <td>DNA replication</td>\n",
       "      <td>S1288</td>\n",
       "      <td>7689-03-4</td>\n",
       "      <td>104842</td>\n",
       "      <td>(SN-38, S4908, 86639-52-3) (Irinotecan, S1198,...</td>\n",
       "      <td>4.609530</td>\n",
       "      <td>0.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002003</td>\n",
       "      <td>-8.963413</td>\n",
       "      <td>-7.587491</td>\n",
       "      <td>0.005199</td>\n",
       "      <td>0.001733</td>\n",
       "      <td>-9.172454</td>\n",
       "      <td>0.000578</td>\n",
       "      <td>-10.757416</td>\n",
       "      <td>688</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1004</td>\n",
       "      <td>Vinblastine</td>\n",
       "      <td>Velban</td>\n",
       "      <td>Microtubule destabiliser</td>\n",
       "      <td>Mitosis</td>\n",
       "      <td>S1248</td>\n",
       "      <td>143-67-9</td>\n",
       "      <td>6710780</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.297122</td>\n",
       "      <td>0.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>-9.289051</td>\n",
       "      <td>-7.150982</td>\n",
       "      <td>0.007036</td>\n",
       "      <td>0.002345</td>\n",
       "      <td>-8.735945</td>\n",
       "      <td>0.000782</td>\n",
       "      <td>-10.320907</td>\n",
       "      <td>753</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1005</td>\n",
       "      <td>Cisplatin</td>\n",
       "      <td>cis-Diammineplatinum(II) dichloride, Platinol,...</td>\n",
       "      <td>DNA crosslinker</td>\n",
       "      <td>DNA replication</td>\n",
       "      <td>S1166</td>\n",
       "      <td>15663-27-1</td>\n",
       "      <td>84691</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.203618</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.328214</td>\n",
       "      <td>0.409488</td>\n",
       "      <td>3.486279</td>\n",
       "      <td>11.206619</td>\n",
       "      <td>3.735540</td>\n",
       "      <td>1.901317</td>\n",
       "      <td>1.245180</td>\n",
       "      <td>0.316354</td>\n",
       "      <td>175</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Drug Name  \\\n",
       "Drug ID                        \n",
       "1                  Erlotinib   \n",
       "1001     AICA Ribonucleotide   \n",
       "1003            Camptothecin   \n",
       "1004             Vinblastine   \n",
       "1005               Cisplatin   \n",
       "\n",
       "                                                  Synonyms  \\\n",
       "Drug ID                                                      \n",
       "1        Tarceva, RG-1415, CP-358774, OSI-774, Ro-50823...   \n",
       "1001     AICAR, N1-(b-D-Ribofuranosyl)-5-aminoimidazole...   \n",
       "1003     7-Ethyl-10-Hydroxy-Camptothecin, SN-38, Irinot...   \n",
       "1004                                                Velban   \n",
       "1005     cis-Diammineplatinum(II) dichloride, Platinol,...   \n",
       "\n",
       "                           Target   Target Pathway Selleckchem Cat#  \\\n",
       "Drug ID                                                               \n",
       "1                            EGFR   EGFR signaling            S7786   \n",
       "1001                 AMPK agonist       Metabolism            S1802   \n",
       "1003                         TOP1  DNA replication            S1288   \n",
       "1004     Microtubule destabiliser          Mitosis            S1248   \n",
       "1005              DNA crosslinker  DNA replication            S1166   \n",
       "\n",
       "          CAS number  PubCHEM  \\\n",
       "Drug ID                         \n",
       "1        183321-74-6   176870   \n",
       "1001       2627-69-2    65110   \n",
       "1003       7689-03-4   104842   \n",
       "1004        143-67-9  6710780   \n",
       "1005      15663-27-1    84691   \n",
       "\n",
       "                                                    Others   entropy  \\\n",
       "Drug ID                                                                \n",
       "1                                (S1023, 183319-69-9, HCl)  7.045609   \n",
       "1001                                                   NaN  6.034272   \n",
       "1003     (SN-38, S4908, 86639-52-3) (Irinotecan, S1198,...  4.609530   \n",
       "1004                                                   NaN  4.297122   \n",
       "1005                                                   NaN  7.203618   \n",
       "\n",
       "         max_conc  ...  median_ic50_9f  log2_median_ic50_9f  \\\n",
       "Drug ID            ...                                        \n",
       "1             2.0  ...        8.448890             3.078762   \n",
       "1001       2000.0  ...      206.748380             7.691732   \n",
       "1003          0.1  ...        0.002003            -8.963413   \n",
       "1004          0.1  ...        0.001599            -9.289051   \n",
       "1005          6.0  ...        1.328214             0.409488   \n",
       "\n",
       "         log2_median_ic50_hn  median_ic50_hn  median_ic50_3f_hn  \\\n",
       "Drug ID                                                           \n",
       "1                   7.764640      217.465095          72.488365   \n",
       "1001                9.939784      982.139588         327.379863   \n",
       "1003               -7.587491        0.005199           0.001733   \n",
       "1004               -7.150982        0.007036           0.002345   \n",
       "1005                3.486279       11.206619           3.735540   \n",
       "\n",
       "         log2_median_ic50_3f_hn  median_ic50_9f_hn  log2_median_ic50_9f_hn  \\\n",
       "Drug ID                                                                      \n",
       "1                      6.179678          24.162788                4.594715   \n",
       "1001                   8.354822         109.126621                6.769859   \n",
       "1003                  -9.172454           0.000578              -10.757416   \n",
       "1004                  -8.735945           0.000782              -10.320907   \n",
       "1005                   1.901317           1.245180                0.316354   \n",
       "\n",
       "         num_sensitive  num_sensitive_hn  \n",
       "Drug ID                                   \n",
       "1                   17                 1  \n",
       "1001               476                27  \n",
       "1003               688                30  \n",
       "1004               753                33  \n",
       "1005               175                 9  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_df = pd.merge(drug_df, num_cl_df, left_index=True, right_index=True)\n",
    "drug_df = pd.merge(drug_df, median_df, left_index=True, right_index=True)\n",
    "drug_df = pd.merge(drug_df, median_hn_df, left_index=True, right_index=True)\n",
    "drug_df = pd.merge(drug_df, sensitive_cnt_df, left_index=True, right_index=True)\n",
    "drug_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "drug_df.to_csv('../preprocessed_data/GDSC/drug_stat.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select HN drugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(226, 27)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_stat_df = pd.read_csv('../preprocessed_data/GDSC/drug_stat.csv', index_col=0)\n",
    "drug_stat_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_num_hn = 20\n",
    "min_num_sensitive_hn = int(np.ceil(0.3 * len(hn_cl_list)))\n",
    "min_num_sensitive_hn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(81, 27)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hn_drug_df = drug_stat_df[(drug_stat_df['num_cl_hn'] >= min_num_hn) & (drug_stat_df['num_sensitive_hn'] >= min_num_sensitive_hn)]\n",
    "hn_drug_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# hn84_list = ['1046', '1032', '1001', '272', '207', '219', '1022', '1059', '178',\n",
    "#        '274', '190', '203', '184', '1019', '1037', '1003', '276', '1170',\n",
    "#        '1015', '152', '273', '1006', '200', '1057', '165', '1007', '133',\n",
    "#        '1031', '172', '201', '134', '306', '173', '1010', '135', '225', '177',\n",
    "#        '159', '176', '208', '157', '163', '164', '256', '287', '291', '1024',\n",
    "#        '194', '153', '136', '294', '260', '269', '182', '283', '299', '167',\n",
    "#        '1060', '301', '196', '302', '1058', '303', '331', '235', '1014', '268',\n",
    "#        '1133', '170', '328', '1026', '1016', '180', '346', '204', '305',\n",
    "#        '1149', '245', '1004', '140', '1012', '308', '252', '223']\n",
    "\n",
    "# selecte_drug_list = ['1032', '201', '182', '1007', '301', '302']\n",
    "\n",
    "# print ([d for d in hn_drug_df.index.astype(str) if d not in hn84_list])\n",
    "# print ([d for d in selecte_drug_list if d not in hn_drug_df.index.astype(str)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "hn_drug_df.to_csv('../preprocessed_data/GDSC/hn_drug_stat.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(drug_stat_df['entropy'], drug_stat_df['log2_median_ic50'], alpha=0.7)\n",
    "plt.xlabel('Rank entropy')\n",
    "plt.ylabel('Median Log(IC50)')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
